An Approach Based On Big Data And Machine Learning For Optimizing The Management Of Agricultural Production Risks
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References listed on IDEAS
- KEVORCHIAN, Cristian & GAVRILESCU, Camelia & HURDUZEU, Gheorghe, 2013. "Qualitative Risk Coverage In Agriculture Through Derivative Financial Instruments Based On Selyaninov Indices," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 17(3), pages 19-32.
- Khandani, Amir E. & Kim, Adlar J. & Lo, Andrew W., 2010. "Consumer credit-risk models via machine-learning algorithms," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2767-2787, November.
- Benjamin Collier & Jerry Skees & Barry Barnett, 2009. "Weather Index Insurance and Climate Change: Opportunities and Challenges in Lower Income Countries," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 34(3), pages 401-424, July.
- Kevorchian, Cristian & Gavrilescu, Camelia & Hurduzeu, Gheorghe, 2014. "The Architecture of Informatics Systems for Farm Management – a Cloud Computing and Big Data Approach," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182844, European Association of Agricultural Economists.
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Keywordsagriculture; weather risk; technologies; big data; machine learning;
- Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General
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